Success Story

The client specializes in data privacy and consent management, enabling enterprises to meet regulatory requirements and offer privacy-focused digital interactions.

Rising content demands across multiple formats and fragmented workflows created bottlenecks, highlighting the need for a more seamless and scalable content engine, as follows:

• Replace manual, siloed workflows with an integrated system for content ideation and production.
• Shorten the turnaround time between topic selection, drafting, and publishing to meet market demand.
• Establish a consistent tone, structure, and metadata across all content types.
• Reduce high dependency on multiple teams by enabling more autonomous and streamlined content execution.

• Built an automated system to deliver daily SEO-focused topic ideas, strengthening enterprise SEO solutions and streamlining content workflows.
• Synced topics to an internal content calendar to support planning across SaaS and B2B operations.
• Transitioned the ecosystem into a Claude-powered Model Context Protocol (MCP) for scalable, high-quality content aligned with SEO practices.
• Added a Knowledge Graph and Style Guide layer to produce publishing-ready, brand-aligned, AI search-optimized content. 

• 3x acceleration in SEO content delivery through autonomous workflows, driving faster time-to-market.
• 100% reduction in manual effort for topic ideation and planning, improving operational efficiency.
• 95%+ editorial consistency across AI-generated content, meeting quality standards at scale.
• Significant improvement in AI search visibility through structured, timely, and brand-aligned content, resulting in measurable SEO performance enhancement.